Joint class identification and target classification using multiple HMMs

Target classification has received significant attention in the tracking literature. Algorithms for joint tracking and classification that are capable of improving tracking performance by exploiting the interdependency between target class and target kinematic behavior have already been proposed. In these works, target identification relies on the a priori information about target classes, but, in practice, the prior class information may not …